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author:

Zhan, Weiwei (Zhan, Weiwei.) [1] | Miao, Zhiqiang (Miao, Zhiqiang.) [2] | Chen, Yanjie (Chen, Yanjie.) [3] (Scholars:陈彦杰) | Wu, Zheng-Guang (Wu, Zheng-Guang.) [4] | Wang, Yaonan (Wang, Yaonan.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

This article studies the finite-time formation control problem for networked nonholonomic mobile robots (NMRs) under denial-of-service (DoS) attacks. The communication signals are transmitted among topology-connected NMRs by threatened networks, which might be disconnected or recovered at any time due to DoS attacks. Under DoS attacks, the received discontinuous date packets resulting from the directed graph might make the formation error escape to an unknown boundary. In addition, it is demonstrated that the frequency of DoS attacks directly affects the convergence time of controllers. A novel distributed observer is developed for each follower to narrow the unknown boundary, in which a projection operation is used to restrain the estimation of state with a known bounded set. An event-triggered mechanism is developed for each follower to identify the intermittent DoS attacks by verifying the time stamps of the received data packets. To reduce the effects of the attacker on the closed-loop system, a finite-time formation controller is proposed to guarantee formation convergence to the desired position in every duration of DoS attack-shut, preventing formation error accumulation. The Lyapunov tools are utilized to derive the conditions for guaranteeing the finite-time formation convergence under DoS attacks subject to a certain frequency. It is proved that the state estimation errors and formation errors can be regulated to the neighborhoods of origin in every duration of DoS attacks shut. The DoS attack and distributed DoS attack examples are provided to illustrate the correctness and performance of the proposed method for networked NMRs through numerical simulation comparisons.

Keyword:

Denial-of-service attacks distributed observer event-triggered mechanism finite-time control networked nonholonomic mobile robots

Community:

  • [ 1 ] [Zhan, Weiwei]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
  • [ 2 ] [Miao, Zhiqiang]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
  • [ 3 ] [Wang, Yaonan]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
  • [ 4 ] [Zhan, Weiwei]Hunan Univ, Natl Engn Res Ctr Robot Visual Percept & Control T, Changsha 410082, Peoples R China
  • [ 5 ] [Miao, Zhiqiang]Hunan Univ, Natl Engn Res Ctr Robot Visual Percept & Control T, Changsha 410082, Peoples R China
  • [ 6 ] [Chen, Yanjie]Hunan Univ, Natl Engn Res Ctr Robot Visual Percept & Control T, Changsha 410082, Peoples R China
  • [ 7 ] [Wang, Yaonan]Hunan Univ, Natl Engn Res Ctr Robot Visual Percept & Control T, Changsha 410082, Peoples R China
  • [ 8 ] [Chen, Yanjie]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 9 ] [Chen, Yanjie]Aberystwyth Univ, Dept Comp Sci, Aberystwyth SY23 3DB, Wales
  • [ 10 ] [Wu, Zheng-Guang]Zhejiang Univ, Inst Cyber Syst & Control, Hangzhou 310027, Peoples R China

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Source :

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

ISSN: 2327-4697

Year: 2023

Issue: 6

Volume: 10

Page: 3754-3766

6 . 7

JCR@2023

6 . 7 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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